It is also worth highlightig our new PBDL dataloader project: https://github.com/tum-pbs/pbdl-dataset, created by TUM Bachelor student Sebastian Pfister. It provides convenient access to our datasets.
Our “classic” airfoil learning example using the loader can be found under the link below. It is very concise now: https://colab.research.google.com/github/tum-pbs/pbdl-book/blob/master/supervised-airfoils.ipynb
The current content is:
- Incompressible Navier-Stokes wake flow over time
- Transonic (compressible) cylinder flow
- A simple NS wake flow (Solver-in-the-Loop)
- Kuramoto-Sivashinsky in 1D (chaotic)
- and a Reynolds-averaged airfoil flow data set.
More datasets to come in the next weeks! 😀
